# Atmosphere/ML Workshop 2026 **URL:** https://forum.access-hive.org.au/c/ml-atmosphere-workshop-2026/253.md [Latest](https://forum.access-hive.org.au/latest.md) · [Categories](https://forum.access-hive.org.au/categories.md) · [Tags](https://forum.access-hive.org.au/tags.md) --- ## [About the Atmosphere/ML Workshop 2026 category](https://forum.access-hive.org.au/t/about-the-atmosphere-ml-workshop-2026-category/6015)
**Author:** [@lachlanswhyborn](https://forum.access-hive.org.au/u/lachlanswhyborn)\ **Replies:** 0\ **Last updated:** [4 March 2026 22:44 UTC](https://forum.access-hive.org.au/t/about-the-atmosphere-ml-workshop-2026-category/6015 "2026-03-04T22:44:07Z")
Category for the ML/Atmosphere Workshop 2026. --- ## [Andrew Ooi: Neural Ordinary Differencial EquationsDEs training session](https://forum.access-hive.org.au/t/andrew-ooi-neural-ordinary-differencial-equationsdes-training-session/6791)
**Author:** [@NBateman-bit](https://forum.access-hive.org.au/u/NBateman-bit)\ **Replies:** 1\ **Last updated:** [20 August 2026 11:04 UTC](https://forum.access-hive.org.au/t/andrew-ooi-neural-ordinary-differencial-equationsdes-training-session/6791 "2026-08-20T11:04:36Z")
Neural ODEs training session (Day 3 11:00-12:30) Facilitated by: Andrew Ooi Introduction: Data driven techniques can be used to find models for engineering problems based on given data. However, it is very common that… --- ## [Welcome to the Connecting Machine Learning to Earth System Science Workshop!](https://forum.access-hive.org.au/t/welcome-to-the-connecting-machine-learning-to-earth-system-science-workshop/6818)
**Author:** [@NBateman-bit](https://forum.access-hive.org.au/u/NBateman-bit)\ **Replies:** 1\ **Last updated:** [19 August 2026 23:41 UTC](https://forum.access-hive.org.au/t/welcome-to-the-connecting-machine-learning-to-earth-system-science-workshop/6818 "2026-08-19T23:41:59Z")
:bookmark\_tabs:The full program is available here and includes links to all the abstracts as posts, so you can continue the discussing after the presentation: Workshop Program for Connecting Machine Learning to Earth Sys… --- ## [Wei Ji Leong: CuPy-Xarray: towards direct to GPU decoding of raster file formats](https://forum.access-hive.org.au/t/wei-ji-leong-cupy-xarray-towards-direct-to-gpu-decoding-of-raster-file-formats/6686)
**Author:** [@lachlanswhyborn](https://forum.access-hive.org.au/u/lachlanswhyborn)\ **Replies:** 1\ **Last updated:** [18 August 2026 05:05 UTC](https://forum.access-hive.org.au/t/wei-ji-leong-cupy-xarray-towards-direct-to-gpu-decoding-of-raster-file-formats/6686 "2026-08-18T05:05:40Z")
Wei Ji Leong: CuPy-Xarray: towards direct to GPU decoding of raster file formats Weather and climate datasets are gradually defaulting to being processed by accelerated hardware such as Graphical Processing Units (GPUs)… --- ## [Tennessee Leeuwenburg: Auto-encoder training sessions](https://forum.access-hive.org.au/t/tennessee-leeuwenburg-auto-encoder-training-sessions/6788)
**Author:** [@NBateman-bit](https://forum.access-hive.org.au/u/NBateman-bit)\ **Replies:** 1\ **Last updated:** [16 August 2026 23:39 UTC](https://forum.access-hive.org.au/t/tennessee-leeuwenburg-auto-encoder-training-sessions/6788 "2026-08-16T23:39:25Z")
Auto-encoder training sessions (Day 1 13:30-15:00 & Day 2 13:30-15:00) Facilitated by: Tennessee Leeuwenburg (Bureau of Meteorology) This split-session tutorial provides an on-ramp to understanding and training machine… --- ## [Steve Sherwood: Breakout: Physics-informed / Hybrid Machine Learning](https://forum.access-hive.org.au/t/steve-sherwood-breakout-physics-informed-hybrid-machine-learning/6792)
**Author:** [@NBateman-bit](https://forum.access-hive.org.au/u/NBateman-bit)\ **Replies:** 0\ **Last updated:** [12 August 2026 05:54 UTC](https://forum.access-hive.org.au/t/steve-sherwood-breakout-physics-informed-hybrid-machine-learning/6792 "2026-08-12T05:54:15Z")
Breakout: Physics-informed / Hybrid Machine Learning (Day 3 12:30-1:30) This breakout will discuss hybrid climate modelling in Austraila, including efforts underway and opportunities. Hybrid modelling can broadly inclu… --- ## [Yue Sun, Micael Oliveira, Edward Yang, Taimoor Sohail & Sanaa Hobeichi: GenAI breakout session](https://forum.access-hive.org.au/t/yue-sun-micael-oliveira-edward-yang-taimoor-sohail-sanaa-hobeichi-genai-breakout-session/6789)
**Author:** [@NBateman-bit](https://forum.access-hive.org.au/u/NBateman-bit)\ **Replies:** 0\ **Last updated:** [12 August 2026 04:59 UTC](https://forum.access-hive.org.au/t/yue-sun-micael-oliveira-edward-yang-taimoor-sohail-sanaa-hobeichi-genai-breakout-session/6789 "2026-08-12T04:59:07Z")
GenAI breakout session (Day 1 16:15-17:00 & Day 2 16:15-17:00) Facilitated by: Yue Sun, Micael Oliveira, Edward Yang, Taimoor Sohail & Sanaa Hobeichi This interactive two-day community discussion (45 minutes each day) … --- ## [Terry O'Kane: Novel neural operator and transformer architectures for climate prediction](https://forum.access-hive.org.au/t/terry-okane-novel-neural-operator-and-transformer-architectures-for-climate-prediction/6749)
**Author:** [@NBateman-bit](https://forum.access-hive.org.au/u/NBateman-bit)\ **Replies:** 0\ **Last updated:** [3 August 2026 23:26 UTC](https://forum.access-hive.org.au/t/terry-okane-novel-neural-operator-and-transformer-architectures-for-climate-prediction/6749 "2026-08-03T23:26:17Z")
Terry O’Kane: Novel neural operator and transformer architectures for climate prediction Novel neural operator and multiscale wavelet transformer climate emulators are described and their performance in training and pre… --- ## [Andrew Zammit Mangion: Physics-based machine learning models for spatio-temporal forecasting](https://forum.access-hive.org.au/t/andrew-zammit-mangion-physics-based-machine-learning-models-for-spatio-temporal-forecasting/6632)
**Author:** [@lachlanswhyborn](https://forum.access-hive.org.au/u/lachlanswhyborn)\ **Replies:** 0\ **Last updated:** [16 July 2026 07:31 UTC](https://forum.access-hive.org.au/t/andrew-zammit-mangion-physics-based-machine-learning-models-for-spatio-temporal-forecasting/6632 "2026-07-16T07:31:04Z")
Andrew Zammit Mangion: Physics-based machine learning models for spatio-temporal forecasting Andrew Zammit-Mangion Forecasting Earth system processes, such as ocean temperature and rainfall, requires models that can … --- ## [William Edge: Gaussian Process Regression for multi-scale oceanographic observations](https://forum.access-hive.org.au/t/william-edge-gaussian-process-regression-for-multi-scale-oceanographic-observations/6694)
**Author:** [@lachlanswhyborn](https://forum.access-hive.org.au/u/lachlanswhyborn)\ **Replies:** 0\ **Last updated:** [21 July 2026 03:01 UTC](https://forum.access-hive.org.au/t/william-edge-gaussian-process-regression-for-multi-scale-oceanographic-observations/6694 "2026-07-21T03:01:47Z")
William Edge: Gaussian Process Regression for multi-scale oceanographic observations We have developed methods to characterise, extract, and map different processes from complete, sparse, spatiotemporal observations. Th… --- ## [Zhihao Deng\*: Climatological Anomalies Projection using Neural Ordinary Differential Equations](https://forum.access-hive.org.au/t/zhihao-deng-climatological-anomalies-projection-using-neural-ordinary-differential-equations/6693)
**Author:** [@lachlanswhyborn](https://forum.access-hive.org.au/u/lachlanswhyborn)\ **Replies:** 0\ **Last updated:** [21 July 2026 03:01 UTC](https://forum.access-hive.org.au/t/zhihao-deng-climatological-anomalies-projection-using-neural-ordinary-differential-equations/6693 "2026-07-21T03:01:46Z")
Zhihao Deng\*: Climatological Anomalies Projection using Neural Ordinary Differential Equations AUTHOR: Zhihao Deng, Chuqi Cao, Hanbo Yang SUPERVISOR & CO-SUPERVISOR: Andrew Ooi, Vassili Kitsios Introduction: Many real… --- ## [Jasmine Peterson\*: Machine Learning and Australia’s shape](https://forum.access-hive.org.au/t/jasmine-peterson-machine-learning-and-australia-s-shape/6692)
**Author:** [@lachlanswhyborn](https://forum.access-hive.org.au/u/lachlanswhyborn)\ **Replies:** 0\ **Last updated:** [21 July 2026 03:01 UTC](https://forum.access-hive.org.au/t/jasmine-peterson-machine-learning-and-australia-s-shape/6692 "2026-07-21T03:01:45Z")
Jasmine Peterson\*: Machine Learning and Australia’s shape Authors: Jasmine Peterson (University of Tasmania), Matt King (University of Tasmania), Daniel Smith (CSIRO Data61), Anna Riddell (Geoscience Australia), Christo… --- ## [Haoran Li, Shixue Li: Coarse-to-Fine: Multi-source Fusion for Bias-Corrected Precipitation Downscaling](https://forum.access-hive.org.au/t/haoran-li-shixue-li-coarse-to-fine-multi-source-fusion-for-bias-corrected-precipitation-downscaling/6691)
**Author:** [@lachlanswhyborn](https://forum.access-hive.org.au/u/lachlanswhyborn)\ **Replies:** 0\ **Last updated:** [21 July 2026 03:01 UTC](https://forum.access-hive.org.au/t/haoran-li-shixue-li-coarse-to-fine-multi-source-fusion-for-bias-corrected-precipitation-downscaling/6691 "2026-07-21T03:01:44Z")
Haoran Li, Shixue Li: Coarse-to-Fine: Multi-source Fusion for Bias-Corrected Precipitation Downscaling Precipitation is a key component of the global water cycle, and high spatial and temporal resolution precipitation d… --- ## [Ryan Holmes: Coastal downscaling of Australian seasonal sea level and sea surface temperature forecasts using neural networks](https://forum.access-hive.org.au/t/ryan-holmes-coastal-downscaling-of-australian-seasonal-sea-level-and-sea-surface-temperature-forecasts-using-neural-networks/6690)
**Author:** [@lachlanswhyborn](https://forum.access-hive.org.au/u/lachlanswhyborn)\ **Replies:** 0\ **Last updated:** [21 July 2026 03:01 UTC](https://forum.access-hive.org.au/t/ryan-holmes-coastal-downscaling-of-australian-seasonal-sea-level-and-sea-surface-temperature-forecasts-using-neural-networks/6690 "2026-07-21T03:01:43Z")
Ryan Holmes: Coastal downscaling of Australian seasonal sea level and sea surface temperature forecasts using neural networks Operational seasonal forecasts of sea level and sea surface temperature (SST) from the Bureau… --- ## [Lynn Zhou: Rapid Forecast‑Based Attribution via a Climate Emulator](https://forum.access-hive.org.au/t/lynn-zhou-rapid-forecast-based-attribution-via-a-climate-emulator/6689)
**Author:** [@lachlanswhyborn](https://forum.access-hive.org.au/u/lachlanswhyborn)\ **Replies:** 0\ **Last updated:** [21 July 2026 03:01 UTC](https://forum.access-hive.org.au/t/lynn-zhou-rapid-forecast-based-attribution-via-a-climate-emulator/6689 "2026-07-21T03:01:42Z")
Lynn Zhou: Rapid Forecast‑Based Attribution via a Climate Emulator Forecast-based attribution is a widely used approach for quantifying the influence of anthropogenic climate change on the severity of extreme events. Th… --- ## [Pearse Buchanan: Optimization of Australia's ocean biogeochemical model with a machine learning surrogate](https://forum.access-hive.org.au/t/pearse-buchanan-optimization-of-australias-ocean-biogeochemical-model-with-a-machine-learning-surrogate/6688)
**Author:** [@lachlanswhyborn](https://forum.access-hive.org.au/u/lachlanswhyborn)\ **Replies:** 0\ **Last updated:** [21 July 2026 03:01 UTC](https://forum.access-hive.org.au/t/pearse-buchanan-optimization-of-australias-ocean-biogeochemical-model-with-a-machine-learning-surrogate/6688 "2026-07-21T03:01:41Z")
Pearse Buchanan: Optimization of Australia’s ocean biogeochemical model with a machine learning surrogate. Optimisation of model parameters is crucial to ensure that model performance is based on process representation … --- ## [Abhnil Amtesh Prasad: WRF-LES training data generation framework for AI surrogates of parameterized convection](https://forum.access-hive.org.au/t/abhnil-amtesh-prasad-wrf-les-training-data-generation-framework-for-ai-surrogates-of-parameterized-convection/6687)
**Author:** [@lachlanswhyborn](https://forum.access-hive.org.au/u/lachlanswhyborn)\ **Replies:** 0\ **Last updated:** [21 July 2026 03:01 UTC](https://forum.access-hive.org.au/t/abhnil-amtesh-prasad-wrf-les-training-data-generation-framework-for-ai-surrogates-of-parameterized-convection/6687 "2026-07-21T03:01:40Z")
Abhnil Amtesh Prasad: WRF-LES training data generation framework for AI surrogates of parameterized convection Developing artificial-intelligence (AI) surrogates that represent subgrid-scale dynamics in hybrid climate m… --- ## [Chandana Nagenahally Manjunath\*: Dynamic Network Analysis of ENSO-driven Global Commodity Price Volatility: Implications for Food and Energy Security](https://forum.access-hive.org.au/t/chandana-nagenahally-manjunath-dynamic-network-analysis-of-enso-driven-global-commodity-price-volatility-implications-for-food-and-energy-security/6685)
**Author:** [@lachlanswhyborn](https://forum.access-hive.org.au/u/lachlanswhyborn)\ **Replies:** 0\ **Last updated:** [21 July 2026 03:01 UTC](https://forum.access-hive.org.au/t/chandana-nagenahally-manjunath-dynamic-network-analysis-of-enso-driven-global-commodity-price-volatility-implications-for-food-and-energy-security/6685 "2026-07-21T03:01:38Z")
Chandana Nagenahally Manjunath\*: Dynamic Network Analysis of ENSO-driven Global Commodity Price Volatility: Implications for Food and Energy Security Introduction and scientific context: Since early 2000s, commodity mar… --- ## [Ulrich Engelke, Dirk Slawinski and Tisham Dhar: Designing AI for Earth Science](https://forum.access-hive.org.au/t/ulrich-engelke-dirk-slawinski-and-tisham-dhar-designing-ai-for-earth-science/6683)
**Author:** [@lachlanswhyborn](https://forum.access-hive.org.au/u/lachlanswhyborn)\ **Replies:** 0\ **Last updated:** [20 July 2026 12:02 UTC](https://forum.access-hive.org.au/t/ulrich-engelke-dirk-slawinski-and-tisham-dhar-designing-ai-for-earth-science/6683 "2026-07-20T12:02:10Z")
Ulrich Engelke, Dirk Slawinski and Tisham Dhar: Designing AI for Earth Science Artificial intelligence (AI) systems have seen an incredible uptake in recent years across a wide range of applications, including scientifi… --- ## [Krish Singh: Using Machine learning to calibrate complex process-based models for carbon stock projection in NSW forests](https://forum.access-hive.org.au/t/krish-singh-using-machine-learning-to-calibrate-complex-process-based-models-for-carbon-stock-projection-in-nsw-forests/6681)
**Author:** [@lachlanswhyborn](https://forum.access-hive.org.au/u/lachlanswhyborn)\ **Replies:** 0\ **Last updated:** [20 July 2026 12:02 UTC](https://forum.access-hive.org.au/t/krish-singh-using-machine-learning-to-calibrate-complex-process-based-models-for-carbon-stock-projection-in-nsw-forests/6681 "2026-07-20T12:02:08Z")
Krish Singh: Using Machine learning to calibrate complex process-based models for carbon stock projection in NSW forests Author Information: Krish Singh (1\*), Belinda Medlyn (1), Benjamin Smith (1,2), Bin Wang (1,3,4),… --- ## [Jakob Gradl: A hybrid variational physics informed/physics encoded neural network for strictly mass-conserving joint inversion of mass and momentum balance in ice flow modelling](https://forum.access-hive.org.au/t/jakob-gradl-a-hybrid-variational-physics-informed-physics-encoded-neural-network-for-strictly-mass-conserving-joint-inversion-of-mass-and-momentum-balance-in-ice-flow-modelling/6680)
**Author:** [@lachlanswhyborn](https://forum.access-hive.org.au/u/lachlanswhyborn)\ **Replies:** 0\ **Last updated:** [20 July 2026 12:02 UTC](https://forum.access-hive.org.au/t/jakob-gradl-a-hybrid-variational-physics-informed-physics-encoded-neural-network-for-strictly-mass-conserving-joint-inversion-of-mass-and-momentum-balance-in-ice-flow-modelling/6680 "2026-07-20T12:02:07Z")
Jakob Gradl: A hybrid variational physics informed/physics encoded neural network for strictly mass-conserving joint inversion of mass and momentum balance in ice flow modelling Physics-informed neural networks (PINNs) … --- ## [Peter Oke: When Machine Learning Breaks the Ocean: Why Dynamics Still Matter](https://forum.access-hive.org.au/t/peter-oke-when-machine-learning-breaks-the-ocean-why-dynamics-still-matter/6679)
**Author:** [@lachlanswhyborn](https://forum.access-hive.org.au/u/lachlanswhyborn)\ **Replies:** 0\ **Last updated:** [20 July 2026 12:02 UTC](https://forum.access-hive.org.au/t/peter-oke-when-machine-learning-breaks-the-ocean-why-dynamics-still-matter/6679 "2026-07-20T12:02:06Z")
Peter Oke: When Machine Learning Breaks the Ocean: Why Dynamics Still Matter Machine learning (ML) and AI are rapidly transforming ocean data products, offering powerful tools to interpolate sparse observations and fill… --- ## [Nayan Meghsham Talmale: CMIP6 Fidelity in Capturing the Variability of Compound Events](https://forum.access-hive.org.au/t/nayan-meghsham-talmale-cmip6-fidelity-in-capturing-the-variability-of-compound-events/6678)
**Author:** [@lachlanswhyborn](https://forum.access-hive.org.au/u/lachlanswhyborn)\ **Replies:** 0\ **Last updated:** [20 July 2026 12:02 UTC](https://forum.access-hive.org.au/t/nayan-meghsham-talmale-cmip6-fidelity-in-capturing-the-variability-of-compound-events/6678 "2026-07-20T12:02:05Z")
Nayan Meghsham Talmale: CMIP6 Fidelity in Capturing the Variability of Compound Events Seasonal variations in temperature–precipitation relationships strongly influence the characteristics of concurrent compound extreme… --- ## [Li Wang: AI-Assisted Porting and Performance Optimization of LFRic Kernels](https://forum.access-hive.org.au/t/li-wang-ai-assisted-porting-and-performance-optimization-of-lfric-kernels/6677)
**Author:** [@lachlanswhyborn](https://forum.access-hive.org.au/u/lachlanswhyborn)\ **Replies:** 0\ **Last updated:** [20 July 2026 12:02 UTC](https://forum.access-hive.org.au/t/li-wang-ai-assisted-porting-and-performance-optimization-of-lfric-kernels/6677 "2026-07-20T12:02:04Z")
Li Wang: AI-Assisted Porting and Performance Optimization of LFRic Kernels Modern models such as LFRic face increasing computational demands and growing pressure to efficiently exploit GPU-based heterogeneous HPC system… --- ## [Irina Rudeva: When Observations Are Sparse: Shared Reanalysis Biases in Southern Ocean MSLP and Insights from Machine Learning](https://forum.access-hive.org.au/t/irina-rudeva-when-observations-are-sparse-shared-reanalysis-biases-in-southern-ocean-mslp-and-insights-from-machine-learning/6676)
**Author:** [@lachlanswhyborn](https://forum.access-hive.org.au/u/lachlanswhyborn)\ **Replies:** 0\ **Last updated:** [20 July 2026 12:02 UTC](https://forum.access-hive.org.au/t/irina-rudeva-when-observations-are-sparse-shared-reanalysis-biases-in-southern-ocean-mslp-and-insights-from-machine-learning/6676 "2026-07-20T12:02:03Z")
Irina Rudeva: When Observations Are Sparse: Shared Reanalysis Biases in Southern Ocean MSLP and Insights from Machine Learning Authors: Callum Battillana 1, Irina Rudeva 2, Tennessee Leeuwenburg 2, Blair Trewin 2, Lynn … --- ## [Tishampati Dhar: A review of Geospatial Foundation models, Embeddings and Practical Applications](https://forum.access-hive.org.au/t/tishampati-dhar-a-review-of-geospatial-foundation-models-embeddings-and-practical-applications/6675)
**Author:** [@lachlanswhyborn](https://forum.access-hive.org.au/u/lachlanswhyborn)\ **Replies:** 0\ **Last updated:** [20 July 2026 12:02 UTC](https://forum.access-hive.org.au/t/tishampati-dhar-a-review-of-geospatial-foundation-models-embeddings-and-practical-applications/6675 "2026-07-20T12:02:02Z")
Tishampati Dhar: A review of Geospatial Foundation models, Embeddings and Practical Applications As earth observation sensors proliferate, processing data from all of the sources and assimilating them into earth systems… --- ## [Christian Stassen: Machine learning for regional climate downscaling in the Australian Climate Service](https://forum.access-hive.org.au/t/christian-stassen-machine-learning-for-regional-climate-downscaling-in-the-australian-climate-service/6674)
**Author:** [@lachlanswhyborn](https://forum.access-hive.org.au/u/lachlanswhyborn)\ **Replies:** 0\ **Last updated:** [20 July 2026 12:02 UTC](https://forum.access-hive.org.au/t/christian-stassen-machine-learning-for-regional-climate-downscaling-in-the-australian-climate-service/6674 "2026-07-20T12:02:01Z")
Christian Stassen: Machine learning for regional climate downscaling in the Australian Climate Service High-resolution climate and hazard projections are an essential tool to understand how risks can change through time… --- ## [Taimoor Sohail: Towards a Machine Learning Ocean Emulation Framework for Decadal Climate Prediction](https://forum.access-hive.org.au/t/taimoor-sohail-towards-a-machine-learning-ocean-emulation-framework-for-decadal-climate-prediction/6673)
**Author:** [@lachlanswhyborn](https://forum.access-hive.org.au/u/lachlanswhyborn)\ **Replies:** 0\ **Last updated:** [20 July 2026 12:01 UTC](https://forum.access-hive.org.au/t/taimoor-sohail-towards-a-machine-learning-ocean-emulation-framework-for-decadal-climate-prediction/6673 "2026-07-20T12:01:59Z")
Taimoor Sohail: Towards a Machine Learning Ocean Emulation Framework for Decadal Climate Prediction Long-term (decadal to centennial) changes to the global ocean, including trends in ocean warming, sea level rise and ca… --- ## [Kevin Horner, Daimon Byl & Benjamin Cottrell: Practical Gray-Box Universal Differential Equation Methods for Chaotic Climate-Relevant Dynamics](https://forum.access-hive.org.au/t/kevin-horner-daimon-byl-benjamin-cottrell-practical-gray-box-universal-differential-equation-methods-for-chaotic-climate-relevant-dynamics/6672)
**Author:** [@lachlanswhyborn](https://forum.access-hive.org.au/u/lachlanswhyborn)\ **Replies:** 0\ **Last updated:** [20 July 2026 12:01 UTC](https://forum.access-hive.org.au/t/kevin-horner-daimon-byl-benjamin-cottrell-practical-gray-box-universal-differential-equation-methods-for-chaotic-climate-relevant-dynamics/6672 "2026-07-20T12:01:58Z")
Kevin Horner, Daimon Byl & Benjamin Cottrell: Practical Gray-Box Universal Differential Equation Methods for Chaotic Climate-Relevant Dynamics AUTHORS: Daimon Byl, Kevin Horner, Benjamin Cottrell, Vassili Kitsios, Andre… --- ## [Spencer Patrick Clark: Pattern scaling in an overshoot world](https://forum.access-hive.org.au/t/spencer-patrick-clark-pattern-scaling-in-an-overshoot-world/6671)
**Author:** [@lachlanswhyborn](https://forum.access-hive.org.au/u/lachlanswhyborn)\ **Replies:** 0\ **Last updated:** [20 July 2026 12:01 UTC](https://forum.access-hive.org.au/t/spencer-patrick-clark-pattern-scaling-in-an-overshoot-world/6671 "2026-07-20T12:01:56Z")
Spencer Patrick Clark: Pattern scaling in an overshoot world Author Information Spencer Clark (1,2), Andrew King (1,2), Zebedee Nicholls (1,3,4) & Malte Meinshausen (1,4) School of Geography, Earth and Atmospheric Sc… [Next page](https://forum.access-hive.org.au/c/ml-atmosphere-workshop-2026/253.md?page=1)